A new visits is defined as each new incoming visitor (viewing or browsing a page) who was not connected to your site during last 60 mn.
Number of client hosts (IP address) who came to visit the site (and who viewed at least one page).
This data refers to the number of different physical persons who had reached the site.
Number of times a page of the site is viewed (Sum for all visitors for all visits).
This piece of data differs from "hits" in that it counts only HTML pages as oppose to images and other files.
Number of times a page, image, file of the site is viewed or downloaded by someone.
This piece of data is provided as a reference only, since the number of "pages" viewed is often prefered for marketing purposes.
This piece of information refers to the amount of data downloaded by all pages, images and files within your site.
Units are in KB, MB or GB (KiloBytes, MegaBytes or GigaBytes)
Awstats recognizes each access to your site after a search from the 1284 most popular Internet Search Engines and Directories (such as Yahoo, Altavista, Lycos, Google, Voila, etc...).
List of all external pages which were used to link (and enter) to your site (Only the 10 most often used external pages are shown). Links used by the results of the search engines are excluded here because they have already been included on the previous line within this table.
This table shows the list of the most frequent keyphrases or keywords used to find your site from Internet Search Engines and Directories. (Keywords from the 1284 most popular Search Engines and Directories are recognized by Awstats, such as Yahoo, Altavista, Lycos, Google, Voila, etc...).
Note that total number of searches for keywords might be greater than total number of searches for keyphrases (real number of searches) because when 2 keywords were used on same search, search is counted twice for keywords (once for each word).
Robots (sometimes refer to Spiders) are automatic computer visitors used by many search engines that scan your web site to index it and rank it, collect statistics on Internet Web sites and/or see if your site is still online.
Awstats is able to recognize up to 1068 robots.
All time related statistics are based on server time.
Here, reported data are: average values (calculated from all data between the first and last visit in analyzed range).
Here, reported data are: cumulative sums (calculated from all data between the first and last visit in analyzed range).
Some Visits durations are 'unknown' because they can't always be calculated. This is the major reason for this:
- Visit was not finished when 'update' occured.
- Visit started the last hour (after 23:00) of the last day of a month (A technical reason prevents Awstats from calculating duration of such sessions)
Worms are automatic computer visitors that are in fact external servers, infected by a virus, that try to make particular hits on your server to infect it. In most cases, such worms exploit some bugs of not up to date or commercial servers. If your system is not the sensitive target of the worm, you can simply ignore those hits.
There is very few 'server worms' in the world but they are very active at some times. Awstats is able to recognize 0 known worm's signatures (nimda,code red,...).
No description for this error.
Request was understood by server but will be processed later.
Server has processed the request but there is no document to send.
Partial content.
Requested document was moved and is now at another address given in answer.
No description for this error.
Syntax error, server didn't understand request.
Tried to reach an URL where a login/password pair was required.
A high number within this item could mean that someone (such as a hacker) is attempting to crack, or enter into your site (hoping to enter a secured area by trying different login/password pairs, for instance).
Tried to reach an URL not configured to be reachable, even with an login/password pair (for example, an URL within a directory not defined as "browsable".).
Tried to reach a non existing URL. This error often means that there is an invalid link somewhere in your site or that a visitor mistyped a certain URL.
Server has taken too much time to respond to a request. This error frequently involves either a slow CGI script which the server was required to kill or an extremely congested web server.
Internal error. This error is often caused by a CGI program that had finished abnormally (coredump for example).
Unknown requested action.
Code returned by a HTTP server that works as a proxy or gateway when a real, targeted server doesn't answer successfully to the client's request.
Internal server error.
Gateway Time-out.
HTTP Version Not Supported.
 
Statistics for: farnost-zhor.cz
cz  German 
Last Update: 25 Apr 2024 - 18:39
Reported period:

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GeoIP Cities  
CountriesRegionsCities: 235HitsPercent
Czech Republic Olomouc4,27013.3 %
Czech Republic Jihlava2,4667.6 %
Czech Republic Prague2,1756.7 %
Czech Republic Dačice2,1276.6 %
China Fushun1,7485.4 %
Czech Republic Prague (praha 11)1,5504.8 %
China Xinjiang1,3494.2 %
China Zhengzhou1,2143.7 %
Czech Republic Prague (praha 3)1,1413.5 %
China Changsha1,0763.3 %
Czech Republic Prague (praha 4)8442.6 %
China Liaoning7732.4 %
Czech Republic Polička7522.3 %
Czech Republic Kadaňský rohozec5691.7 %
China Zhejiang4751.4 %
China Guangzhou4701.4 %
China Panjin4571.4 %
Czech Republic Kutná hora4251.3 %
Russian Federation Moscow4021.2 %
Czech Republic Zdar3611.1 %
Czech Republic Prague (praha 8)3271 %
China Haidian (haidian qu)2970.9 %
China Jilin city (chuanying district)2840.8 %
United States Ashburn2100.6 %
Czech Republic Liberec (jeřáb)1890.5 %
United States Portland1830.5 %
Czech Republic Brno (brno-bystrc)1710.5 %
Czech Republic Brno střed1690.5 %
Great Britain Leeds1550.4 %
Slovak Republic Bratislava (bratislavský)1500.4 %
Czech Republic ÄŒeské budějovice1420.4 %
United States Newark1190.3 %
France Roubaix970.3 %
Czech Republic Adamov950.2 %
Czech Republic Ostrava (moravská ostrava a přívoz)940.2 %
China Huangpu qu870.2 %
China Luohe shi (wuyang xian)870.2 %
United States Atlanta (downtown)860.2 %
Russian Federation Chelyabinsk860.2 %
Czech Republic Opava850.2 %
Czech Republic Veselí nad moravou790.2 %
Czech Republic Moravská nová ves780.2 %
Czech Republic Vsetín770.2 %
Czech Republic Praha 4760.2 %
United States Seattle (south lake union)730.2 %
Netherlands Amsterdam (amsterdam-centrum)700.2 %
Czech Republic TřeÅ¡Å¥700.2 %
Czech Republic Å½elezný brod700.2 %
Switzerland Zurich (city)660.2 %
United States Dublin650.2 %
United States Mahwah650.2 %
Turkey Ankara550.1 %
Great Britain London540.1 %
Netherlands Amsterdam330.1 %
United States Los angeles310 %
Spain Madrid310 %
United States Fairfield240 %
Germany Haßfurt240 %
United States Boston (mit)220 %
Germany Hamburg (alsterdorf)180 %
Japan Kurashiki (kanda)180 %
China Nanjing170 %
Indonesia Central jakarta140 %
China å»½é¾™æ¡¥140 %
Bulgaria Sofia130 %
Kazakhstan Oral120 %
United States Chicago (near south side)120 %
Ukraine Kyiv120 %
Germany Frankfurt am main120 %
China Chaoyang shi (shuangta qu)110 %
Germany Dresden110 %
United States San jose100 %
United States Marina del rey100 %
United States New york90 %
China Suzhou90 %
France Paris80 %
Canada Toronto (north york)80 %
Moldova Chisinau (râşcani)80 %
Luxembourg Bissen80 %
China Chaowai (chaoyang qu)70 %
China Henan70 %
Canada Montreal (ville-marie)60 %
China Nanjing (xuanwu qu)60 %
Taiwan Fenjihu60 %
Germany Nuremberg (mitte)60 %
United States San diego (clairemont)60 %
United States Chicago50 %
Belarus Minsk50 %
Sweden Stockholm50 %
United States Buffalo (downtown)50 %
Germany Falkenstein50 %
Russian Federation Vladivostok50 %
Australia South brisbane50 %
China æ°´æžœæ¹–街道50 %
Singapore Singapore (downtown core)50 %
Japan Tokyo40 %
United Arab Emirates Dubai40 %
Ukraine Kyiv (podil's'kyi district)40 %
Canada Oakville (glen abbey)40 %
United States Boulder40 %
United States Chester40 %
Netherlands Lelystad40 %
United States Columbus40 %
China Zhangzhou30 %
United States Ann arbor (bryant pattengill east)30 %
Australia Fairlight30 %
China Fuzhou shi (yongtai xian)30 %
United States Santa clara30 %
Finland Tuusula30 %
United States Burbank (north hollywood)30 %
Panama Panama city30 %
Vietnam Ho chi minh city30 %
United States Andover30 %
United States Secaucus30 %
China Jinan30 %
France Le kremlin-bicêtre30 %
United States Seattle (downtown)30 %
India Coimbatore30 %
Iran Tehran30 %
United States Dallas (downtown)30 %
Czech Republic Praha 1030 %
United States Irving (las colinas)30 %
India Bengaluru20 %
France Clichy-sous-bois20 %
United States Snoqualmie (snoqualmie ridge)20 %
Russian Federation Moscow (vostochnyy administrativnyy okrug)20 %
United States Leawood20 %
China Sanming20 %
Australia Melbourne20 %
Brazil Juiz de fora20 %
United States Washington d.c.20 %
Canada Toronto (old toronto)20 %
Russian Federation Penza20 %
Morocco Rabat20 %
Saudi Arabia Al jubayl20 %
Russian Federation â„–420 %
United States Raleigh (downtown)20 %
United States Pittsburgh (east liberty)20 %
United States Provo (east bay)20 %
China Shijiazhuang20 %
Russian Federation Asbest20 %
United States Williamsville20 %
Sweden Dunker20 %
United States Eugene (western)20 %
China Wenzhou (lucheng qu)20 %
Norway Oslo20 %
China Qingdao (jiaozhou shi)20 %
United States Duluth (kenwood)20 %
Finland Helsinki20 %
Singapore Singapore20 %
United States Albany20 %
United States Cincinnati (central business district)20 %
United States Clifton20 %
United States San francisco (south of market)20 %
China Shanghai20 %
Germany Garching bei münchen20 %
Australia Brisbane20 %
Sweden Tranemo municipality20 %
United Arab Emirates Abu dhabi20 %
China Nanchang20 %
United States North bergen20 %
Italy Segrate20 %
United States South brunswick township20 %
Netherlands Heerlen20 %
China Haikou20 %
Sweden Norrtälje20 %
United States Los angeles (central la)10 %
France Strasbourg10 %
United States Los angeles (downtown)10 %
United States Rosemont10 %
China Lishui (liandu qu)10 %
China Wenzhou10 %
China Shanxi10 %
Belgium Zedelgem10 %
United States Pittsburgh (north side)10 %
Russian Federation Kolomna10 %
Italy Messina10 %
Hungary Budapest (xvii. kerület)10 %
Czech Republic KtiÅ¡10 %
China Xining10 %
New Zealand Auckland10 %
South Africa Sandton (edenburg)10 %
China è¥¿ä¸€è·¯10 %
Singapore Singapore (pioneer)10 %
Iran Tehran (shahrak-e shahÄ«d fakÅ«rÄ«)10 %
Singapore Singapore (queenstown estate)10 %
Czech Republic Brno (brno střed)10 %
United States Wilmington (mid-town brandywine)10 %
Poland Warsaw10 %
United States Evanston10 %
Sweden Norrmalm10 %
United States Jersey city10 %
Czech Republic Brno-jih10 %
China Beijing10 %
Nigeria Ikeja10 %
Czech Republic Měšice10 %
China Wuhan10 %
Great Britain London (isle of dogs)10 %
Philippines Manila10 %
China Huai'an10 %
Switzerland Bern10 %
India Meerut (phase i)10 %
United States Wilmington10 %
Germany Karlsruhe (nordweststadt)10 %
Latvia Riga10 %
Ireland Dublin10 %
China Shaoxing xian (zhuji shi)10 %
United States Denver (denver tech center)10 %
Czech Republic Stará ves nad ondřejnicí10 %
China Jiaxing10 %
China Fuzhou10 %
Sweden Malmo (limhamn)10 %
Great Britain Cambridge10 %
United States Seattle (pike pine retail core)10 %
Australia Sydney10 %
India Pune10 %
Portugal Lisbon10 %
China Shenzhen10 %
Nigeria Lagos (ikoyi)10 %
Italy Ospedaletto10 %
China Xuzhou (tongshan qu)10 %
Great Britain Talbot green10 %
Netherlands The hague (centrum)10 %
United States Jacksonville (southside estates)10 %
Israel Tel aviv10 %
China Putian10 %
Finland Turku10 %
Czech Republic Brno10 %
China Yancheng10 %
Canada Longueuil10 %
Jordan Amman10 %
United States Sioux falls10 %
Canada Beauharnois10 %
Sweden Uppsala10 %
China Quzhou10 %
Others/Unknown27008.4 %



Advanced Web Statistics 7.6 (build 20161204) - Created by awstats (plugins: hostinfo, geoip_city_maxmind, geoip, tooltips)